C:\Users\prabh\Downloads>qwen.exe.exe This version of C:\Users\prabh\Downloads\qwen.exe.exe is not compatible with the version of Windows you're running. Check your computer's system information and then contact the software publisher.
bh/Downloads$ ./qwen.baremetallama ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist ggml_backend_load_best: search path does not exist register_backend: registered backend CPU (1 devices) register_device: registered device CPU (CPU) main: Bundled model detected at offset 28438528 main: n_parallel is set to auto, using n_parallel = 4 and kv_unified = true build: 0 (cosmo) with cosmocc for x86_64-linux-cosmo (debug) system info: n_threads = 6, n_threads_batch = 6, total_threads = 12
system_info: n_threads = 6 (n_threads_batch = 6) / 12 | CPU :
init: using 11 threads for HTTP server start: binding port with default address family main: loading model srv load_model: loading model '/C/Users/prabh/Downloads/qwen.baremetallama' common_init_result: fitting params to device memory, for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on llama_params_fit_impl: no devices with dedicated memory found llama_params_fit: successfully fit params to free device memory llama_params_fit: fitting params to free memory took 0.35 seconds llama_model_loader: loaded meta data with 26 key-value pairs and 291 tensors from /C/Users/prabh/Downloads/qwen.baremetallama (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = qwen2 llama_model_loader: - kv 1: general.type str = model llama_model_loader: - kv 2: general.name str = qwen2.5-0.5b-instruct llama_model_loader: - kv 3: general.version str = v0.1 llama_model_loader: - kv 4: general.finetune str = qwen2.5-0.5b-instruct llama_model_loader: - kv 5: general.size_label str = 630M llama_model_loader: - kv 6: qwen2.block_count u32 = 24 llama_model_loader: - kv 7: qwen2.context_length u32 = 32768 llama_model_loader: - kv 8: qwen2.embedding_length u32 = 896 llama_model_loader: - kv 9: qwen2.feed_forward_length u32 = 4864 llama_model_loader: - kv 10: qwen2.attention.head_count u32 = 14 llama_model_loader: - kv 11: qwen2.attention.head_count_kv u32 = 2 llama_model_loader: - kv 12: qwen2.rope.freq_base f32 = 1000000.000000 llama_model_loader: - kv 13: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 14: general.file_type u32 = 15 llama_model_loader: - kv 15: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 16: tokenizer.ggml.pre str = qwen2 llama_model_loader: - kv 17: tokenizer.ggml.tokens arr[str,151936] = ["!", """, "#", "$", "%", "&", "'", ... llama_model_loader: - kv 18: tokenizer.ggml.token_type arr[i32,151936] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 19: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 20: tokenizer.ggml.eos_token_id u32 = 151645 llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 22: tokenizer.ggml.bos_token_id u32 = 151643 llama_model_loader: - kv 23: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 24: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>... llama_model_loader: - kv 25: general.quantization_version u32 = 2 llama_model_loader: - type f32: 121 tensors llama_model_loader: - type q5_0: 133 tensors llama_model_loader: - type q8_0: 13 tensors llama_model_loader: - type q4_K: 12 tensors llama_model_loader: - type q6_K: 12 tensors print_info: file format = GGUF V3 (latest) print_info: file type = Q4_K - Medium print_info: file size = 462.96 MiB (6.16 BPW) load: 0 unused tokens load: printing all EOG tokens: load: - 151643 ('<|endoftext|>') load: - 151645 ('<|im_end|>') load: - 151662 ('<|fim_pad|>') load: - 151663 ('<|repo_name|>') load: - 151664 ('<|file_sep|>') load: special tokens cache size = 22 load: token to piece cache size = 0.9310 MB print_info: arch = qwen2 print_info: vocab_only = 0 print_info: no_alloc = 0 print_info: n_ctx_train = 32768 print_info: n_embd = 896 print_info: n_embd_inp = 896 print_info: n_layer = 24 print_info: n_head = 14 print_info: n_head_kv = 2 print_info: n_rot = 64 print_info: n_swa = 0 print_info: is_swa_any = 0 print_info: n_embd_head_k = 64 print_info: n_embd_head_v = 64 print_info: n_gqa = 7 print_info: n_embd_k_gqa = 128 print_info: n_embd_v_gqa = 128 print_info: f_norm_eps = 0.0e+00 print_info: f_norm_rms_eps = 1.0e-06 print_info: f_clamp_kqv = 0.0e+00 print_info: f_max_alibi_bias = 0.0e+00 print_info: f_logit_scale = 0.0e+00 print_info: f_attn_scale = 0.0e+00 print_info: n_ff = 4864 print_info: n_expert = 0 print_info: n_expert_used = 0 print_info: n_expert_groups = 0 print_info: n_group_used = 0 print_info: causal attn = 1 print_info: pooling type = -1 print_info: rope type = 2 print_info: rope scaling = linear print_info: freq_base_train = 1000000.0 print_info: freq_scale_train = 1 print_info: n_ctx_orig_yarn = 32768 print_info: rope_yarn_log_mul = 0.0000 print_info: rope_finetuned = unknown print_info: model type = 1B print_info: model params = 630.17 M print_info: general.name = qwen2.5-0.5b-instruct print_info: vocab type = BPE print_info: n_vocab = 151936 print_info: n_merges = 151387 print_info: BOS token = 151643 '<|endoftext|>' print_info: EOS token = 151645 '<|im_end|>' print_info: EOT token = 151645 '<|im_end|>' print_info: PAD token = 151643 '<|endoftext|>' print_info: LF token = 198 'Ċ' print_info: FIM PRE token = 151659 '<|fim_prefix|>' print_info: FIM SUF token = 151661 '<|fim_suffix|>' print_info: FIM MID token = 151660 '<|fim_middle|>' print_info: FIM PAD token = 151662 '<|fim_pad|>' print_info: FIM REP token = 151663 '<|repo_name|>' print_info: FIM SEP token = 151664 '<|file_sep|>' print_info: EOG token = 151643 '<|endoftext|>' print_info: EOG token = 151645 '<|im_end|>' print_info: EOG token = 151662 '<|fim_pad|>' print_info: EOG token = 151663 '<|repo_name|>' print_info: EOG token = 151664 '<|file_sep|>' print_info: max token length = 256 load_tensors: loading model tensors, this can take a while... (mmap = true, direct_io = false) llama_model_load: error loading model: mmap failed: Invalid argument llama_model_load_from_file_impl: failed to load model common_init_from_params: failed to load model '/C/Users/prabh/Downloads/qwen.baremetallama' srv load_model: failed to load model, '/C/Users/prabh/Downloads/qwen.baremetallama' srv operator(): operator(): cleaning up before exit... main: exiting due to model loading error